SOTAVerified

Graph Embedding

Graph embeddings learn a mapping from a network to a vector space, while preserving relevant network properties.

( Image credit: GAT )

Papers

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Showing 1121–1130 of 1192 papers

TitleStatusHype
Digital Human Interactive Recommendation Decision-Making Based on Reinforcement Learning—0
Graph Classification Based on Skeleton and Component Features—0
An experimental study of graph-based semi-supervised classification with additional node information—0
Unsupervised Graph Embedding via Adaptive Graph Learning—0
DiffMove: Group Mobility Tendency Enhanced Trajectory Recovery via Diffusion Model—0
Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution—0
An End-to-End Framework for Cold Question Routing in Community Question Answering Services—0
Simplicity within biological complexity—0
Graph-Embedded Multi-layer Kernel Extreme Learning Machine for One-class Classification or (Graph-Embedded Multi-layer Kernel Ridge Regression for One-class Classification)—0
Simplification of Graph Convolutional Networks: A Matrix Factorization-based Perspective—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1DeepGGEntropy Difference0—Unverified